conftrace_

value function

295 papers

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Also known as

V FUNCTION

Co-occurring keywords

reinforcement learning (4352) deep reinforcement learning (903) policy optimization (657) markov decision process (790) offline reinforcement learning (492) temporal difference learning (149) sample efficiency (472) function approximation (319) off-policy learning (228) model-based reinforcement learning (415)

Papers

Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning AAAI 2024
Robust Offline Reinforcement Learning with Heavy-Tailed Rewards AISTATS 2024
Neur2BiLO: Neural Bilevel Optimization NIPS 2024
Contextual Multinomial Logit Bandits with General Value Functions NIPS 2024
Occupancy-based Policy Gradient: Estimation, Convergence, and Optimality NIPS 2024
Adaptive $Q$-Aid for Conditional Supervised Learning in Offline Reinforcement Learning NIPS 2024
The Power of Resets in Online Reinforcement Learning NIPS 2024
Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning NIPS 2024
Critic-Guided Decision Transformer for Offline Reinforcement Learning AAAI 2024
Generalizable Policy Improvement via Reinforcement Sampling (Student Abstract) AAAI 2024
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers NIPS 2024
Aligning Large Language Models with Representation Editing: A Control Perspective NIPS 2024
Discerning Temporal Difference Learning AAAI 2024
Learning Generalized Linear Programming Value Functions NIPS 2024
The Benefits of Model-Based Generalization in Reinforcement Learning ICML 2023
Deep Off-Policy Iterative Learning Control L4DC 2023
PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient ICML 2023
Deep Value Function Networks for Large-Scale Multistage Stochastic Programs AISTATS 2023
Loss Dynamics of Temporal Difference Reinforcement Learning NIPS 2023
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning ICML 2023
Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes ICML 2023
On the Statistical Benefits of Temporal Difference Learning ICML 2023
Krylov–Bellman boosting: Super-linear policy evaluation in general state spaces AISTATS 2023
Q-functionals for Value-Based Continuous Control AAAI 2023
Weighted Policy Constraints for Offline Reinforcement Learning AAAI 2023